Staff who wish to use NVivo on their home computer also need to complete a Work at Home Application form (.pdf, 54KB) and email it to Postgraduate students Please complete the online Software Order Form to order NVivo from ITSS. Ordering NVivo software through ITS University Departments The licence period is 1 January to 31 December. They can only do so while they are University of Otago employees or students.Ī separate NVivo licence must be requested to be installed onto a personally-owned computer.Īn annual licence for NVivo software is available through ITSS. Staff and students can use NVivo on their personally-owned computers for University work only.Staff and students can use NVivo software on University-owned computers.Frequently Asked Questions about NVivo software.On this page you will find information about ordering and licensing NVivo software through Information Technology Support Services (ITSS) including: NVivo is ideal for those working with complex data such as multimedia, who want to conduct deep levels of analysis. NVivo is designed for researchers who need to combine subtle coding with qualitative linking, shaping, searching and modelling. NVivo software is especially useful for those working with large amounts of data in a team environment. Whether for advanced researchers or those approaching the task for the first time, this clear, yet comprehensive guide is the perfect companion for anyone doing qualitative data analysis with NVivo.NVivo is a qualitative data analysis tool that provides easy access to data, and also enables clerical tasks to be extensively automated. Empowers students to develop their critical thinking.Īccompanied by video tutorials for both Mac and PC, web links and a host of other helpful online resources, this step-by-step book removes students' anxiety about tackling data analysis.Seamlessly interweaves theory and practice in easy-to-follow steps.

Contains fully integrated instructions for using NVivo on both Mac and PC, with screenshots and click-by-click guidance.Packed with real-world examples and case studies, the book supports students through every stage of qualitative data analysis. Drawing on their wealth of expertise, the authors offer detailed, practical advice that relates to students’ own experience and research projects. Engaging and accessible, this book offers students a complete guide to using NVivo for qualitative data analysis.

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